With LLMs and vision models becoming more accessible than ever, I started exploring the intersection of web scraping and AI. As a test case, I recently wrote a code leveraging LLAMA vision to scrape the content of a webpage but using the multi-modality of LLM; we can call it Visual-based WebScraping. Instead of traditional HTML…
Ever tried turning an open-source LLM into a personal paparazzi? I did—purely as a proof-of-concept—and it’s both fascinating and a little alarming. I wrote a simple script that waits for Outlook to open, takes a screenshot, and instantly sends it off via Telegram. Yes. Classic programming could do the same thing, sure, but here’s the…
In our previous discussion, Saving Your Machine Learning Model: The Good, The Bad, and the Overengineered, we dove into why the way you save your model matters—from convenience to security. Recent news from The Hacker News has further underscored that point. Let’s break down what Hugging Face is, why it’s become a standard hub for…
So, you’ve trained a fancy machine-learning model. It took hours, maybe days, and possibly an existential crisis about whether data science was the right career choice. But before you pat yourself on the back and call it a day, you need to save your model—because if it disappears, you might as well have been training…
GenAI is a term that refers to the use of large language models, such as GPT-4, to generate natural language content for various purposes. GenAI projects are becoming more popular and promising, as they can potentially offer solutions for many domains and tasks. But GenAI projects are not as straightforward as they may seem. They…
Have you ever wondered what makes a successful GenAI project? Is it the model, the data, the tech stack, or something else? We have been working on various GenAI projects already and along this journey, we have discovered that the most important factor for GenAI’s success is often overlooked – the team crafting solutions. They…